Triple
T4684928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelaide del Vasto |
E103896
|
entity |
| Predicate | startTimeAsQueenConsortOfJerusalem |
P59004
|
FINISHED |
| Object | 1113 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1113 | Statement: [Adelaide del Vasto, startTimeAsQueenConsortOfJerusalem, 1113]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsQueenConsortOfJerusalem Context triple: [Adelaide del Vasto, startTimeAsQueenConsortOfJerusalem, 1113]
-
A.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
B.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
C.
reignAsQueenConsortOfSpainStart
Indicates the time at which a person began their tenure as queen consort of Spain.
-
D.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
E.
reignAsKingOfJerusalemStart
Indicates the time at which an individual begins their reign as king of Jerusalem.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.